[Remote] Full Stack AI Engineer
Note: The job is a remote job and is open to candidates in USA. The company is an innovative AI-focused organization building the next generation of agentic applications. The Full Stack AI Engineer will build end-to-end frontend, backend, and AI product features, including multi-step agent workflows, LLM integrations, real-time experiences, and scalable, reliable AI systems.
Responsibilities
- Build end-to-end product features across frontend, backend, and AI systems
- Design and implement multi-step agent workflows that can plan, execute, recover from failures, and complete complex tasks
- Integrate LLMs, retrieval systems, memory architectures, and external tools into production applications
- Create highly responsive AI experiences featuring streaming responses and real-time interactions
- Improve platform reliability, observability, monitoring, and resiliency
- Collaborate closely with product, machine learning, and backend engineering teams
- Continuously iterate on AI workflows based on user behavior, performance metrics, and real-world outcomes
- Help establish engineering patterns and best practices for scalable AI products
Skills
- • 4+ years of professional software engineering experience
- • Strong full stack development experience across frontend and backend systems
- • Experience designing APIs and scalable distributed systems
- • Hands-on experience building AI-powered applications, LLM integrations, RAG systems, agents, or workflow orchestration platforms
- • Strong proficiency with JavaScript/TypeScript and modern web frameworks
- • Experience with Python for backend services and AI integrations
- • Ability to thrive in fast-paced environments with evolving requirements
- • Strong ownership mindset with a passion for taking products from concept to production
- Candidates must be legally authorized to work in the United States without current or future sponsorship. This employer is unable to provide visa sponsorship or employment-based immigration support now or in the future
- • Agentic AI systems
- • Retrieval Augmented Generation (RAG)
- • OpenAI, Anthropic, or open-source LLMs
- • Kubernetes and Docker
- • Real-time applications and streaming architectures
- • Observability and production monitoring
- • SQL and NoSQL databases
- • Cloud-native application development
Benefits
- Equity potential
- Remote-first flexibility
Company Overview